Overall, we observe that our method may lack an ability to preserve fine-details and address multi-correspondence as shown in Figure REF . Given an object in the support image and multiple corresponding objects in query image, VAT sometimes seem to fail finding correspondence. From these, perhaps, it could be argued that the proposed method is better at encoding matching information and effectively aggregating them than others, but it might lack an ability to better find multi-objects or preserve the fine-details. Better means to consider both factors either by introducing some confidence module [1]} or preserve fine-details when increasing the resolutions of the predicted mask during the process in decoder can be a promising direction future work.
